AddSearch vs Algolia

Overview

Algolia

Stacks1.4K

Followers1.1K

Votes699

AddSearch

Stacks8

Followers17

Votes0

AddSearch vs Algolia: What are the differences?

Indexing and Crawling: AddSearch automatically indexes and crawls your website content, requiring minimal setup on your end. Algolia offers more control over indexing and crawling, allowing you to fine-tune which parts of your website are indexed and how frequently they are updated.
Search Result Ranking: AddSearch uses a predefined search algorithm to rank search results based on relevance and popularity. Algolia provides a flexible ranking system that allows you to customize and prioritize search results based on various criteria such as user behavior and business rules.
Analytics and Reporting: AddSearch offers basic analytics and reporting features to track search performance and user behavior. Algolia provides more advanced analytics tools, including real-time data tracking, A/B testing, and detailed insight into search queries and trends.
Customization and Integration: AddSearch offers a user-friendly interface with limited customization options and integrations. Algolia provides extensive customization capabilities and a wide range of integrations with popular frameworks and platforms, making it suitable for complex and dynamic websites.
Support and Documentation: AddSearch offers responsive customer support and detailed documentation for quick troubleshooting and implementation. Algolia provides extensive documentation, tutorials, and community forums, along with dedicated support channels for personalized assistance.
Pricing and Scalability: AddSearch offers straightforward pricing plans based on the number of search queries and indexed documents, making it suitable for small to medium websites. Algolia offers scalable pricing plans based on usage volume and advanced features, making it ideal for large-scale enterprise websites requiring high performance and customization options.

In Summary, AddSearch excels in simplicity and ease of use, while Algolia stands out for its customization options and advanced features, catering to different website needs.

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Advice on Algolia, AddSearch

Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceon

Firebase

Elasticsearch

Algolia

Hey everybody! (1) I am developing an android application. I have data of around 3 million record (less than a TB). I want to save that data in the cloud. Which company provides the best cloud database services that would suit my scenario? It should be secured, long term useable, and provide better services. I decided to use Firebase Realtime database. Should I stick with Firebase or are there any other companies that provide a better service?

(2) I have the functionality of searching data in my app. Same data (less than a TB). Which search solution should I use in this case? I found Elasticsearch and Algolia search. It should be secure and fast. If any other company provides better services than these, please feel free to suggest them.

Thank you!

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Comments

Detailed Comparison

Algolia	AddSearch
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.	We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.
Database search;Multi-attributes;Search as you type;Analytics dashboard; Ranking; Mobile; Search in any language;Understand users mistakes;Smart Highlighting;Realtime indexing;Protect your indexes from misuse;Discover realtime faceting;Search objects by location	Manage Search Results - Guide website visitors to the pages that matter most; Analyze Search Intent - Your website is your main asset. Uncover what your visitors are searching for; AddSearch for All Platforms - We support any platform from legacy systems to state of the art Single Page Applications; Federated Search - Bring together all your existing content under one search index; Search in Many Languages - When your users search, the only results displayed are those with the same language as the page they are on; PDF Support - Don't miss out on installation manuals, technical support documents or product specifications!; Highly Customizable Search Design - With simple CSS tweaks, you can customize the look-and-feel of the search box and search results page to align with your brand.; Search API - Create unique result pages, queries for related content, search functionality for mobile apps and more.
Statistics
Stacks 1.4K	Stacks 8
Followers 1.1K	Followers 17
Votes 699	Votes 0
Pros & Cons
Pros 126 Ultra fast 95 Super easy to implement 73 Modern search engine 71 Excellent support 70 Easy setup, fast and relevant Cons 11 Expensive	No community feedback yet
Integrations
React Ruby Jekyll JavaScript React Native Vue.js WordPress Shopify Docusaurus VuePress	Wix Magento Squarespace Shopify Google Analytics Joomla! WordPress JavaScript Microsoft SharePoint Drupal

What are some alternatives to Algolia, AddSearch?

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Solr

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

Amazon Elasticsearch Service

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

Azure Search

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

Related Comparisons

AddSearch vs Algolia: What are the differences?

Indexing and Crawling: AddSearch automatically indexes and crawls your website content, requiring minimal setup on your end. Algolia offers more control over indexing and crawling, allowing you to fine-tune which parts of your website are indexed and how frequently they are updated.
Search Result Ranking: AddSearch uses a predefined search algorithm to rank search results based on relevance and popularity. Algolia provides a flexible ranking system that allows you to customize and prioritize search results based on various criteria such as user behavior and business rules.
Analytics and Reporting: AddSearch offers basic analytics and reporting features to track search performance and user behavior. Algolia provides more advanced analytics tools, including real-time data tracking, A/B testing, and detailed insight into search queries and trends.
Customization and Integration: AddSearch offers a user-friendly interface with limited customization options and integrations. Algolia provides extensive customization capabilities and a wide range of integrations with popular frameworks and platforms, making it suitable for complex and dynamic websites.
Support and Documentation: AddSearch offers responsive customer support and detailed documentation for quick troubleshooting and implementation. Algolia provides extensive documentation, tutorials, and community forums, along with dedicated support channels for personalized assistance.
Pricing and Scalability: AddSearch offers straightforward pricing plans based on the number of search queries and indexed documents, making it suitable for small to medium websites. Algolia offers scalable pricing plans based on usage volume and advanced features, making it ideal for large-scale enterprise websites requiring high performance and customization options.

In Summary, AddSearch excels in simplicity and ease of use, while Algolia stands out for its customization options and advanced features, catering to different website needs.

AddSearch vs Algolia

Overview